Abstract
The displacements at the bearing locations play an important role in identifying the dynamic coefficients of the journal bearing. In this paper, an identification method for the oil-film dynamic coefficients is presented. First of all, a discrete state-space model of the bearing-rotor system is generated. Secondly, Kalman filter technique is used to obtain the displacements of the bearing locations. Then, these estimated responses are adopted to identify the dynamic coefficients. Finally, a comparison is developed between the identified results and the theoretical value. The results showed that the present method has high accurate for the identification of the dynamic coefficients, especially, for the direct dynamic coefficients.
Original language | English |
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Title of host publication | Advances in Asset Management and Condition Monitoring, COMADEM 2019 |
Editors | Andrew Ball, Len Gelman, B.K.N. Rao |
Publisher | Springer, Cham |
Pages | 1273-1284 |
Number of pages | 12 |
Volume | 166 |
ISBN (Electronic) | 9783030577452 |
ISBN (Print) | 9783030577445 |
DOIs | |
Publication status | Published - 28 Aug 2020 |
Event | 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom Duration: 3 Sep 2019 → 5 Sep 2019 Conference number: 32 http://www.comadem2019.com/ (Link to Conference Website) |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Publisher | Springer |
Volume | 166 |
ISSN (Print) | 2190-3018 |
ISSN (Electronic) | 2190-3026 |
Conference
Conference | 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference |
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Abbreviated title | COMADEM 2019 |
Country/Territory | United Kingdom |
City | Huddersfield |
Period | 3/09/19 → 5/09/19 |
Internet address |
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